Compare - Databricks VS Superset

Here’s the difference between Databricks and Superset. The comparison is based on pricing, deployment, business model, and other important factors.

About Databricks

Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.

About Superset

Apache Superset is an open-source software cloud-native application for data exploration and data visualization able to handle data at petabyte scale. The application started as a hack-a-thon project by Maxime Beauchemin while working at Airbnb and entered the Apache Incubator program in 2017.

Comparision Table

Overview
CategoriesData Warehouses, Data LakesBusiness Intelligence (BI)
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DevelopmentSaaSSaaS
Business ModelCommercialOpen Source
PricingFreemium, Contact SalesFreemium
LocationSan Francisco, USUS
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
Airbnb logoHomeToGo logoStride logoswile logo
Contact info
linkedin icon
twitter icon
twitter icon

Add to compare

Similar Companies
Redshift logo
Redshift
Data Warehouses
Oracle
Data Warehouses
Qubole
Data Lakes
Dremio
Data Warehouses, Data Lakes